REPLICATION ARCHIVE FOR: Mann, Christopher B. �Can Conversing with a Computer Increase Turnout? Mobilization Using Chatbot Communication.� Journal of Experimental Political Science.

FILES: 
Resistbot_WI_SupCt_2019_anon.tab � Replication data for Resistbot�s field experiment on voter mobilization conducted in Wisconsin in 2019.

Resistbot_WI_SupCt_2019_Analysis.do � Stata command file (do file) for replication of results and tables in manuscript.

Resistbot 2019 WI_Analysis_23_Jan_2020_16_59_55.txt � Log file from Stata producing results and tables in manuscript. 

VARIABLES IN REPLICATION DATA:

e2019gvm � Administrative records of voter turnout in April 2019 election from Wisconsin election officials obtained from Catalist LLC. [Values: absentee = ballot cast by mail; polling = ballot cast at polling place; blank = no ballot cast]

zip5 � Administrative record of 5 digit zip code provided to Resistbot
 
fieldtotalfaxessent � Administrative record of total number of faxes sent via Resistbot

fieldtotalcallsmade � Administrative record of total number of calls made via Resistbot

fieldtotallettersmailed � Administrative record of total number of letters mailed via Resistbot 

fieldtotalemailssent � Administrative record of total number of emails sent via Resistbot

fieldtotaleditorialssubmitted � Administrative record of total number of editorials submitted via Resistbot

assignment � Random assignment to treatment or control group by Resistbot. Obtained from files provided by Resistbot labeled as �control� and �treatment�. [Values: 0 = control; 1 = treatment] 

_merge_vh � Record of successful match to Catalist dataset with vote history following Catalist proprietary match of Resistbot experimental population to Catalist voter file database. [Values: 2 = no Catalist vote history record; 3 = successful match of Resistbot record to Catalist voter file]

NOTES: 
Experimental population was defined by Resistbot as all members at time of experiment in Wisconsin (defined by zip code). Resistbot used a simple random assignment procedure with a computer-generated random number between 0 and 1, assigning records with values less than 0.5 to the control group and values greater than or equal to 0.5 to the treatment group. Records assigned to the control group were stored in a file named �wisconsin-control.txt� and records assigned to the treatment group were stored in a file named �wisconsin-treatment.txt�. The randomly assigned groups were archived with a third party to verify data integrity. This data was sent to Catalist LLC, a commercial firm specializing in voter data, to match to the voter file to obtain individual level administrative records on voter turnout in the April 2019 election (see description in the paper). The treatment, control and voter history files were provided to the author.

The first section of the Stata do file imports and appends the control and treatment files; imports and merges the Catalist vote history; and removes personally identifying information. This section of the do file is commented out as it cannot be run with replication files (these files contain PII that was destroyed in accordance with IRB guidelines). 

The next section of the Stata do file creates variables formatted for analysis from this source data before producing the balance table and analyses in the manuscript.   


